Open AccessINTERNET NETWORK CLASSIFICATION IN MALIKUSSALEH UNIVERSITY USING NAÏVE BAYES METHOD
Author(s) -
Eva Darnila,
Zara Yunizar,
Dhyra Gibran Alinda
Publication year - 2021
Publication title -
methomika
Language(s) - English
Resource type - Journals
eISSN - 2620-4339
pISSN - 2598-8565
DOI - 10.46880/jmika.vol5no1.pp48-53
Subject(s) - expansive , computer science , bayes' theorem , the internet , naive bayes classifier , web application , world wide web , artificial intelligence , bayesian probability , materials science , compressive strength , support vector machine , composite material
The utilize of web systems at this time is exceptionally critical, particularly for the world of instruction. In expansion to the significance of the web arrange, issues frequently emerge on the web arrange due to an expansive number of clients, the issues can be gotten at the UNIMAL campus incorporate moderate, harmed, and indeed not sent information to its goal since the organize activity isn't ideal. To be able to optimize the web organize by prioritizing organize activity. In this consider, the Credulous Bayes calculation is utilized for the classification handle of organized activity capture information. The application utilized to capture organize activity is the Wireshark application. Utilizing the Credulous Bayes calculation to watch the comes about of organizing test information through a calculation prepare that has tall precision. To be specific at the Workforce of Designing 95.73% with a likelihood of testing comes about is 0.00015946 web browsing, 0.7 downloads, 0.00008691 gushing, 0.00008497 social media, 0.14 floodings.